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Decision automation vs workflow automation

Workflow automation moves work: it passes tasks and data between systems and people in a defined order. Decision automation owns a decision: it applies a policy to the facts of a case, returns an outcome, and records why. A workflow tool can call a decision; a decision platform needs a workflow to gather data and act on the outcome.

Most business operations need both, which is why the useful question is where the policy lives and who can change it.

In short

  • Workflow automation: sequence, hand-offs, integrations, notifications.
  • Decision automation: policy, calculations, outcome, and the reason for it.
  • A workflow tool with the policy buried in branch conditions is hard to change and hard to explain.
  • Platforms that combine both keep the policy versioned and the record complete.

Side by side

Workflow automationDecision automation
Question it answersWhat happens next, and who does it?What is the outcome, and why?
Core objectsTriggers, steps, integrations, tasks.Rules, decision tables, calculations, reference data.
Owned byOperations or IT.The policy owner — credit, risk, compliance, underwriting.
Changes whenThe process changes.The policy changes.
RecordWhich steps ran.Which policy version decided, on which facts, and who approved.

The problem with policy inside a workflow

When a general workflow tool is used for decisions, the policy ends up spread across branch conditions — a threshold here, a lookup there. Changing it means editing the workflow, the change is hard to review, and months later nobody can say which version of the policy decided a case. The work ran; the decision is not explainable.

When you need which

  • Workflow automation alone. Moving data between applications, notifications, approvals with no policy behind them, document routing.
  • Decision automation alone. A decision service called by an existing application that already handles the process around it.
  • Both together. Any operation where work arrives, is checked against a policy, is decided, is sometimes reviewed by a person, and is acted on — which describes most regulated operations.

Where Miji fits

Miji combines both. The workflow engine handles triggers, connectors, loops, parallel branches, sub-workflows, approvals and files; the decision lives in versioned rules and decision tables that the workflow calls, with calculations and reference data beside them. The policy owner edits the rule; the workflow does not change; and each decision records the rule version.

See policy and workflow working together on one of your operations.

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Frequently asked questions

What is the difference between decision automation and workflow automation?

Workflow automation moves tasks and data between systems and people. Decision automation applies a policy to the facts of a case, returns an outcome and records why. Most operations need both, ideally with the policy kept separate from the workflow so it can be versioned and changed on its own.

Can a workflow tool make decisions?

It can branch on conditions, but the policy then lives inside the workflow, which makes it hard to change, review and explain. Decision automation keeps the policy as versioned rules the workflow calls.

White paper

Enterprise Decision Automation White Paper

Which decisions to automate, where AI belongs and where it does not, and how to change a policy without losing the record.

Download the white paper